Automatic scoring method based on virtual experiment platform
A virtual experiment and automatic scoring technology, applied in the field of experimental teaching, can solve the problems of insufficient intelligence of mechanization, manual scoring, and inability to judge subjective questions, so as to improve the accuracy of scoring, improve scoring efficiency, and save scoring time.
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[0042] refer to figure 1 , a method for automatic scoring based on a virtual experiment platform, comprising the steps of:
[0043] 1) Input text data: input subjective question text data;
[0044] 2) Natural language preprocessing: Firstly, the text data of the input subjective questions is cut into words through the word cutting tool, and then the data after the word cutting is used to replace the database with a dictionary specially designed for virtual experiments. The content of the dictionary is Add words independently according to the content of the experiment, assign different digital IDs to each phrase, and finally output the text data of the subjective questions in the form of numbers. In this example, the open source word segmentation tool jieba on GitHub is used for word segmentation processing. The processing process is as follows: Since the data of the virtual experiment platform is mainly in Chinese, compared with the English composition scoring system, ...
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